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The SNePS family
Abstract SNePS, the Semantic Network Processing System, is an intensional propositional semantic network that has been designed to be the mind of a computational cognitive agent. In this article, theExpand
Logical Foundations for Belief Representation
TLDR
This essay presents a computational analysis of a referential mechanism-quasi-indexicality-first examined in philosophy some 20 years ago, but not hitherto employed in artificial intelligence (AI) studies of belief systems. Expand
Syntactic Semantics: Foundations of Computational Natural-Language Understanding
TLDR
In this essay, I consider how it is possible to understand natural language and whether a computer could do so. Expand
What Did You Mean by That? Misunderstanding, Negotiation, and Syntactic Semantics
  • W. Rapaport
  • Psychology, Computer Science
  • Minds and Machines
  • 1 August 2003
TLDR
Syntactic semantics is a holistic, conceptual-role-semantic theory of how computers can think. Expand
SNePS Considered as a Fully Intensional Propositional Semantic Network
TLDR
We present a formal syntax and semantics for SNePS considered as the (modeled) mind of a cognitive agent. Expand
In Defense of Contextual Vocabulary Acquisition
TLDR
This paper presents a computational theory of contextual vocabulary acquisition, identifies the relevant notion of context, exhibits the assumptions behind some classic objections, and defends our theory against these objections. Expand
Logical Foundations for Belief Representation
This essay presents a philosophical and computational theory of the representation of de re, de dicto, nested, and quasi-indexical belief reports expressed in natural language. The propositionalExpand
Holism, Conceptual-Role Semantics, and Syntactic Semantics
  • W. Rapaport
  • Computer Science
  • Minds and Machines
  • 1 February 2002
TLDR
This essay continues my investigation of `syntactic semantics': the theory that, pace Searle's Chinese-Room Argument, syntax does suffice for semantics (in particular, for the semantics needed for a computational cognitive theory of natural-language understanding). Expand
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